AI Medical Compendium Topic

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Big Data

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Big Data/AI in Neurocritical Care: Maybe/Summary.

Neurocritical care
Big data (BD) and artificial intelligence (AI) have increasingly been used in neurocritical care. "BD" can be operationally defined as extremely large datasets that are so large and complex that they cannot be analyzed by using traditional statistica...

Registries, Databases and Repositories for Developing Artificial Intelligence in Cancer Care.

Clinical oncology (Royal College of Radiologists (Great Britain))
Modern artificial intelligence techniques have solved some previously intractable problems and produced impressive results in selected medical domains. One of their drawbacks is that they often need very large amounts of data. Pre-existing datasets i...

[Use of medical archives for research and patient care].

Der Urologe. Ausg. A
In recent years, technology in healthcare has experienced a dynamic increase, with the collection of data being a central component. In particular, artificial intelligence (AI), such as machine learning and deep learning, makes it possible to perform...

Application of AI and IoT in Clinical Medicine: Summary and Challenges.

Current medical science
The application of artificial intelligence (AI) technology in the medical field has experienced a long history of development. In turn, some long-standing points and challenges in the medical field have also prompted diverse research teams to continu...

Optimization of Data Mining and Analysis System for Chinese Language Teaching Based on Convolutional Neural Network.

Computational intelligence and neuroscience
Chinese language is also an important way to understand Chinese culture and an important carrier to inherit and carry forward Chinese traditional culture. Chinese language teaching is an important way to inherit and develop Chinese language. Therefor...

Molecular modeling in cardiovascular pharmacology: Current state of the art and perspectives.

Drug discovery today
Molecular modeling in pharmacology is a promising emerging tool for exploring drug interactions with cellular components. Recent advances in molecular simulations, big data analysis, and artificial intelligence (AI) have opened new opportunities for ...

The value of data and its applicability in the Health Sector.

Revista espanola de medicina nuclear e imagen molecular
Currently news and/or articles on the use of Artificial Intelligence and the Big Data are flooding us and this situation has worsened with the pandemic, where great importance has been given to its use and the various applications in all sectors. Som...

Analyzing the Check-In Behavior of Visitors through Machine Learning Model by Mining Social Network's Big Data.

Computational and mathematical methods in medicine
The current article paper is aimed at assessing and comparing the seasonal check-in behavior of individuals in Shanghai, China, using location-based social network (LBSN) data and a variety of spatiotemporal analytic techniques. The article demonstra...

Detecting fabrication in large-scale molecular omics data.

PloS one
Fraud is a pervasive problem and can occur as fabrication, falsification, plagiarism, or theft. The scientific community is not exempt from this universal problem and several studies have recently been caught manipulating or fabricating data. Current...

How can we discover the most valuable types of big data and artificial intelligence-based solutions? A methodology for the efficient development of the underlying analytics that improve care.

BMC medical informatics and decision making
BACKGROUND: Much has been invested in big data and artificial intelligence-based solutions for healthcare. However, few applications have been implemented in clinical practice. Early economic evaluations can help to improve decision-making by develop...